Highlights An observation vector preprocessing algorithm improves accuracy of the vector inertia tensor attitude estimation algorithm. The case of a single highly accurate observation vector is treated by the preprocessing algorithm. The error covariance matrix is the inverse of the related observation vector inertia tensor. The observation vector related inertia tensor is identified as the information matrix.

    Abstract The recently developed Vector Inertia Tensor Attitude Estimation, VITAE, method is enhanced by the addition of two different preprocessing algorithms that modify the observation vectors prior to attitude estimation. The first preprocessing algorithm is for use in cases that have one observation vector that is much more accurate than the other observation vectors. Such cases suffer numerical error caused by the large relative weight of the very accurate observation vector. Use of the preprocessing algorithm eliminates large variation in vector weights and resulting numerical error. The second preprocessing algorithm enables VITAE to generate results equivalent to a very accurate suboptimal attitude determination algorithm that produces results extremely close to the optimum solution. Preprocessing algorithms eliminate the need to select observation vector weights to remove eigenvalue degeneracy and allows the weights to be based solely on optimality, thereby improving estimation accuracy. When optimum weights are used, the inertia matrix is recognized as the information matrix, which links VITAE to other attitude estimation algorithms. The preprocessing algorithms used with VITAE were able to uncover erroneous results in a few published test cases. The VITAE solutions were validated analytically, through the inertia matrix’s inverse relationship to the error covariance matrix. A loss function comparison is also included to further validate the preprocessing algorithms and related VITAE solution.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Preprocessing observation vectors to increase attitude estimation accuracy


    Beteiligte:

    Erschienen in:

    Advances in Space Research ; 64 , 1 ; 223-238


    Erscheinungsdatum :

    2019-03-15


    Format / Umfang :

    16 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Attitude estimation apparatus, attitude estimation method, and observation system

    HINO MOMOYO / MAEHARA HIDEAKI / TAIRA KENJI et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    ATTITUDE ESTIMATION APPARATUS, ATTITUDE ESTIMATION METHOD, AND OBSERVATION SYSTEM

    HINO MOMOYO / MAEHARA HIDEAKI / TAIRA KENJI et al. | Europäisches Patentamt | 2019

    Freier Zugriff

    ATTITUDE ESTIMATION DEVICE, ATTITUDE ESTIMATION METHOD, AND OBSERVATION SYSTEM

    HINO MOMOYO / MAEHARA HIDEAKI / TAIRA KENJI et al. | Europäisches Patentamt | 2017

    Freier Zugriff

    Effect of Observation Errors on Satellite Attitude Estimation

    Fischl, Robert / Mc Ilvaine, James P. | IEEE | 1972